


from argparse import ArgumentParser

from . import BaseTransformersCLICommand


def       UpperCAmelCase_					(   UpperCAmelCase__	):
					return DownloadCommand(args.model    ,				args.cache_dir    ,				args.force    ,				args.trust_remote_code	)







class 							UpperCamelCase__ (						__magic_name__ ):

					@staticmethod
					def 	UpperCAmelCase__							(  UpperCamelCase__							: ArgumentParser							):






										'''simple docstring'''






										lowercase_					=      parser.add_parser("""download"""							)
										download_parser.add_argument(
										    """--cache-dir"""				,       type=lowercase_				,       default=lowercase_				,       help="""Path to location to store the models"""							)
										download_parser.add_argument(
										    """--force"""				,       action="""store_true"""				,       help="""Force the model to be download even if already in cache-dir"""							)
										download_parser.add_argument(
										    """--trust-remote-code"""				,       action="""store_true"""				,       help="""Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you've reviewed the code as it will execute on your local machine"""				,       )
										download_parser.add_argument("""model"""				,       type=lowercase_				,       help="""Name of the model to download"""							)
										download_parser.set_defaults(func=lowercase_							)

					def __init__(  self							: List[str]				,       UpperCamelCase__							: str				,       UpperCamelCase__							: str				,       UpperCamelCase__							: bool				,       UpperCamelCase__							: bool							):






										'''simple docstring'''






										lowercase_					=      model
										lowercase_					=      cache
										lowercase_					=      force
										lowercase_					=      trust_remote_code







					def 	UpperCAmelCase__							(  self							: List[Any]							):






										'''simple docstring'''






										from ..models.auto import AutoModel, AutoTokenizer

										AutoModel.from_pretrained(
										    self._model				,       cache_dir=self._cache				,       force_download=self._force				,       trust_remote_code=self._trust_remote_code							)
										AutoTokenizer.from_pretrained(
										    self._model				,       cache_dir=self._cache				,       force_download=self._force				,       trust_remote_code=self._trust_remote_code							)



def 				lowerCAmelCase__       (			a__ )      ->int:




  '''simple docstring'''

  if not isinstance(a__    ,     a__ ) or number < 0:
    raise ValueError("Input must be a non-negative integer" )

  _UpperCamelCase           =    0
  while number:
    # This way we arrive at next set bit (next 1) instead of looping
    # through each bit and checking for 1s hence the
    # loop won't run 32 times it will only run the number of `1` times
    number &= number - 1
    count += 1
  return count


if __name__ == "__main__":
   import doctest

   doctest.testmod()




